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Suppose G is n×n non-negative definite, and α is n×1.
(a) Find an n×1 vector U of normal random variables with mean 0 and cov(U) = G. Hint: let V be an n×1 vector of independent N(0, 1) variables, and let U = G1/2V .
(b) How would you modify the construction to get E(U ) = α?
Assume we have a population of scores with mean (mu) of 200 and standard deviation (sigma) of 10. Assume that the distribution is normal. Provide answers to the following questions:
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What is the probability that an improperly adjusted machine will produce five or more items before it is stopped? What is the average number of items an improperly adjusted machine will produce before being stopped?
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Category of decision rule which contains maximax decision rule is?
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question a random sample is taken from a population. the data points are 5 4 9 2 1a what is the mode?b calculate the
Suppose that X represents diameter measurements from a gamma distribution with a mean of 3 mm and a variance of 1.5 mm^2.
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